Rapid pattern recognition of OncomiR by DNA computation

2022 Fiscal Year Final Research Report

• Project/Area Number: 19H00901
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Medium-sized Section 34:Inorganic/coordination chemistry, analytical chemistry, and related fields
• Research Institution: Tokyo University of Agriculture and Technology
• Principal Investigator: Kawano Ryuji 東京農工大学, 工学(系)研究科(研究院), 教授 (90401702)
• Co-Investigator(Kenkyū-buntansha): 鈴木 宏明 中央大学, 理工学部, 教授 (20372427)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: DNAコンピューティング / microRNA / ナノポア / リキッドバイオプシー

Outline of Final Research Achievements

In this project, we aimed to construct a cancer pattern diagnostic method for microRNAs (miRNAs), which are expected to be used as early-stage cancer diagnostic markers, by combining DNA computing technology and a label-free DNA molecule detection method using nanopore measurement. In this study, we found that the five miRNA pattern recognition method, which is up-regulated in cholangiocarcinoma, can be applied to blood samples from actual cancer patients, and we were able to detect miRNAs in the ultra-low concentration range (~fM), which had been impossible to measure using nanopore measurement. We also developed an extraction technique using liquid-liquid phase separation. These results have been published in peer-reviewed journals including JACS Au, and at several domestic and international conferences.

Free Research Field

マイクロ分析化学

Academic Significance and Societal Importance of the Research Achievements

本研究では、DNAコンピューティングの並列情報処理を利用し、ナノポア計測と組合すことで、腫瘍由来miRNAのパターン診断法を開発した。実際に患者からの実検体からの識別にも成功し、現在病院、動物病院と共同研究で、ヒトの胃癌、口腔扁平上皮癌、イヌの各種簡易・安価なリキッドバイオプシー法として実用化を進めている。